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Olfaction01:25

Olfaction

The sense of smell is achieved through the activities of the olfactory system. It starts when an airborne odorant enters the nasal cavity and reaches olfactory epithelium (OE). The OE is protected by a thin layer of mucus, which also serves the purpose of dissolving more complex compounds into simpler chemical odorants. The size of the OE and the density of sensory neurons varies among species; in humans, the OE is only about 9-10 cm2.
The olfactory receptors are embedded in the cilia of the...
Aromatic Compounds: Overview01:25

Aromatic Compounds: Overview

In general, the term ‘aromatic’ indicates a pleasant smell or fragrance from fresh flowers, freshly prepared coffee, etc. In the early history of organic chemistry, many benzene derivatives were isolated from the pleasant odor oils of the plants. For example, vanillin was isolated from the oil of vanilla, methyl salicylate from the oil of wintergreen, and cinnamaldehyde from the oil of cinnamon. They all had a pleasant odor; hence the name aromatic was given.
In 1825, Faraday isolated benzene...
Physiology of Smell and Olfactory Pathway01:20

Physiology of Smell and Olfactory Pathway

Humans detect odors with the help of specialized cells located in the upper part of the nasal cavity, called olfactory receptor neurons (ORNs). ORNs possess hair-like structures called cilia, which are receptive to sensations from the inhaled air. When an odorant molecule binds to a specific receptor on the cell of the cilia, it leads to a series of events that ultimately cause the ORN to send electrical signals to the olfactory bulb in the brain through the olfactory nerves.
The olfactory...

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相关实验视频

Updated: May 13, 2026

Rapid Collection of Floral Fragrance Volatiles using a Headspace Volatile Collection Technique for GC-MS Thermal Desorption Sampling
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通过化学信息学方法自动创建气味.

Manuel Aleixandre1, Dani Prasetyawan1, Takamichi Nakamoto2

  • 1Laboratory for Future Interdisciplinary Research of Science and Technology (FIRST), Institute of Integrated Research (IIR), Institute of Science Tokyo, 4259 Nagatsuta-cho, Midori, Yokohama, 226-8503, Kanagawa, Japan.

Scientific reports
|December 29, 2024
PubMed
概括
此摘要是机器生成的。

研究人员开发了一种用于自动制造气味的新方法,这是数字嗅觉的关键一步. 这项技术使用深度神经网络来生成所需的气味配置文件,为嗅觉显示铺平了道路.

关键词:
化学信息学 化学信息学深度神经网络是一个神经网络.数字嗅觉是一种数字嗅觉.质谱测量质量谱测量气味预测 气味预测气味复制的复制方法

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科学领域:

  • 数字嗅觉是一种数字嗅觉.
  • 计算化学是一种计算化学.
  • 感官科学是一种感官科学.

背景情况:

  • 嗅觉对人类体验至关重要,但仍然在很大程度上未经数字化.
  • 数字嗅觉的挑战包括不可靠的传感技术,精确的气味传递和气味的主观性质.
  • 将气味转换为数字信息和自动创建气味是很大的障碍.

研究的目的:

  • 为应对数字嗅觉中自动制造气味的挑战.
  • 提出一种新的方法,用特定的描述符生成所需的气味配置文件.
  • 通过嗅觉显示器,能够通过精确的气味配置来呈现气味.

主要方法:

  • 使用深度神经网络,从多维传感数据 (包括质谱) 中预测气味描述符.
  • 集成了一种利用已识别的气味成分的气味复制技术.
  • 该方法侧重于根据输入描述符自动创建目标气味配置文件.

主要成果:

  • 提出的方法成功地产生了与所需气味配置文件相匹配的气味.
  • 发现,气味创造的准确性取决于底层气味预测模型的性能.
  • 证明了用于嗅觉应用的自动气味生成的可行性.

结论:

  • 自动制造气味是可以实现的,显著推进了数字嗅觉.
  • 开发的方法为嗅觉显示器创建特定气味提供了一条途径.
  • 在气味预测准确度的进一步改进将提高数字气味生成的能力.